scholarly journals Attribute Coordinate Comprehensive Evaluation Model Combining Principal Component Analysis

2018 ◽  
pp. 60-69 ◽  
Author(s):  
Xiaolin Xu ◽  
Yan Liu ◽  
Jiali Feng
Keyword(s):  
Principal Component Analysis ◽  
Comprehensive Evaluation ◽  
Evaluation Model ◽  
Principal Component ◽  
Component Analysis ◽  
Model Combining ◽  
Comprehensive Evaluation Model

Earth-Rock Dam Risk Consequence’s Comprehensive Evaluation under Drought Condition Based on Principal Component Analysis

2012 ◽  
Vol 518-523 ◽  
pp. 4022-4025
Author(s):  
Hao Yao Zheng ◽  
Jin Bao Sheng ◽  
De Wei Yang ◽  
Zhi Gang Huang ◽  
Rong Liang Cheng
Keyword(s):  
Principal Component Analysis ◽  
Comprehensive Evaluation ◽  
Evaluation Model ◽  
Principal Component ◽  
Component Analysis ◽  
Drought Condition ◽  
Local Production ◽  
Severe Problem ◽  
Comprehensive Evaluation Model ◽  
Dam Risk

This spring a serious drought occurred in some areas of China, which had a great impact to local production, living and economic development. For this severe problem, earth-rock dam’s risk consequence evaluation model under drought condition was proposed, and factors of earth-rock dam risk consequence were analyzed and summarized, using principal component analysis to establish comprehensive evaluation model of earth-rock dam’s risk consequence under drought condition.

Evaluation of Regional Technological Innovation Efficiency Based on Principal Component Analysis and DEA

2010 ◽  
Vol 33 ◽  
pp. 378-382 ◽  
Author(s):  
Hong Mei Chen ◽  
Zhi Yong Wu ◽  
Wei Jin
Keyword(s):  
Principal Component Analysis ◽  
Technological Innovation ◽  
Comprehensive Evaluation ◽  
Evaluation Model ◽  
Returns To Scale ◽  
Principal Component ◽  
Component Analysis ◽  
Comprehensive Evaluation Model ◽  
Innovation Ability ◽  
Determining Factor

Regional technological innovation ability is increasingly becoming the determining factor to attain an international competitive advantage for the areas, as well as to achieve regional economic growth and development. But in the same time of raising the regional technological innovation ability, it is also necessary to continuously improve the efficiency of regional technological innovation, so as to increase the resources efficiency. We evaluate the efficiency of regional technology innovation for China's 30 provinces and municipalities using comprehensive evaluation model combined principal component analysis and DEA. According to evaluation results, we think that the overall efficiency for regional technological innovation is at the low level, and most areas is at the stage of increasing returns to scale, that account for a common problem of insufficient investment in the process of regional technological innovation.

scholarly journals Establishing a Model for Evaluating Chicken Coccidiosis Resistance Based on Principal Component Analysis

Animals ◽  
2019 ◽  
Vol 9 (11) ◽  
pp. 926 ◽  
Author(s):  
Zou ◽  
Yu ◽  
Wang ◽  
Dai ◽  
Sun ◽  
...  
Keyword(s):  
Principal Component Analysis ◽  
Comprehensive Evaluation ◽  
Body Weight Gain ◽  
Evaluation Model ◽  
Selection Index ◽  
Principal Component ◽  
Component Analysis ◽  
Post Inoculation ◽  
Index Model ◽  
Validation Parameters

To establish a coccidiosis resistance evaluation model for chicken selection, the different parameters were compared between infected and control Jinghai yellow chickens. Validation parameters were selected for principal component analysis (PCA), and an optimal comprehensive evaluation model was selected based on the significance of a correlation coefficient between coccidiosis resistance parameters and principal component functions. The following six different parameters were identified: body weight gain 3–5 days post infection and catalase (CAT), superoxide dismutase (SOD), glutathione peroxidase (GSH-Px), malondialdehyde (MDA) and γ-interferon (IFN-γ) concentrations on the eight day post inoculation. Six principal components and one accumulated contribution of up to 80% of the evaluation models were established by PCA. The results showed that the first model was significantly or highly significantly related to nine resistance parameters (p < 0.01 or p < 0.05), especially to cecal lesions (p < 0.01). The remaining models were related to only 2–3 parameters (p < 0.01 or p < 0.05) and not to cecal lesions (p > 0.05). The values calculated by the optimal model (first model) were significantly negatively correlated with cecal lesion performance; the larger the value, the more resistant to coccidiosis. The model fi1 = −0.636 zxi1 + 0.311 zxi2 + 0.801 zxi3 − 0.046 zxi4 − 0.076 zxi5 + 0.588 zxi6 might be the best comprehensive selection index model for chicken coccidiosis resistance selection.

Comparison on Dam Risk Consequences Comprehensive Evaluation Model

2013 ◽  
Vol 785-786 ◽  
pp. 1465-1468
Author(s):  
Wei Wei Sun ◽  
Lei Li ◽  
Hao Yao Zheng ◽  
Xue Ying Zhao
Keyword(s):  
Comprehensive Evaluation ◽  
Evaluation Model ◽  
Correlation Method ◽  
Principal Component ◽  
Principal Component Method ◽  
Weighted Sum Method ◽  
Comprehensive Evaluation Model ◽  
Gray Correlation ◽  
Mathematics Method ◽  
Dam Risk

Many evaluation factors are involved in dam risk consequences comprehensive evaluation, which exist plenty of uncertainty and correlation between each other. Combined the five methods, such as linear weighted sum method, fuzzy mathematics method, matter element method, gray correlation method and principal component method with dam risk consequences comprehensive evaluation, establishing five dam risk comprehensive evaluation models, applying to the level evaluation of Changlong Reservoir, Xialan Reservoir, Shibikeng Reservoir, Longshan Reservoir, Lingtan Reservoir successfully.

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